Production Machine Learning Systems
This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where "Machine Learning on GCP" left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended
Created by: Google Cloud Training
Course Description
Instructor Details
- 4.3 Rating
51 Reviews
Google Cloud Training
The Google Cloud Training team is responsible for developing, delivering and evaluating training that enables our enterprise customers and partners to use our products and solution offerings in an effective and impactful way. Google Cloud helps millions of organizations empower their employees, serve their customers, and build what's next for their businesses with innovative technology created in-and for-the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
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Reviews
By M T on 28-Oct-19
The first module was really good, but the others just seemed like an ad for GCS. Also, the 3rd and 4th module the labs / lab video was hard to follow and felt like I was just reading random code.
By Alireza K on 29-Sep-19
The Qwiklabs should be more than copy pasting commands. Also I think this course is suitable for people with many years of experience in software development not people like me just came out from university!
By Sachin T on 20-Sep-19
This was a great opportunity to learn the Production Machin learning system.
By Daniel E on 9-Sep-19
This course, I believe, will be crucial to my future understanding of end to end ML applications. I only hope gain more practice in assembling all the pieces from experimentation, to model design, to data engineering.
By Steven P G on 11-Aug-19
Es un curso algo confuso que requiere bastante tiempo para comprender las tematicas
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Overall Score : 86 / 100











